Rapid Imaging of Pulsed Terahertz Radiation with Spatial Light Modulators and Neural Networks

ACS Photonics ◽  
2021 ◽  
Author(s):  
Rayko Ivanov Stantchev ◽  
Kaidi Li ◽  
Emma Pickwell-MacPherson
Keyword(s):  
Neural Networks ◽  
Terahertz Radiation ◽  
Spatial Light Modulators ◽  
Rapid Imaging ◽  
Light Modulators

Smart VLSI/FELC spatial light modulators for neural networks

1994 ◽  
Author(s):  
T.C. B. Yu ◽  
Robert J. Mears ◽  
Anthony B. Davey ◽  
William A. Crossland ◽  
M. W. Snook ◽  
...  
Keyword(s):  
Neural Networks ◽  
Spatial Light Modulators ◽  
Light Modulators

TAG: A Neural Network Model for Large-Scale Optical Implementation

1991 ◽  
Vol 3 (1) ◽  
pp. 135-143 ◽  
Author(s):  
Hyuek-Jae Lee ◽  
Soo-Young Lee ◽  
Sang-Yung Shin ◽  
Bo-Yun Koh
Keyword(s):  
Neural Networks ◽  
Adaptive Learning ◽  
Large Scale ◽  
Learning Algorithm ◽  
Single Layer ◽  
Spatial Light Modulators ◽  
Light Modulators ◽  
Different Types ◽  
Multilayer Architecture ◽  
Output Neurons

TAG (Training by Adaptive Gain) is a new adaptive learning algorithm developed for optical implementation of large-scale artificial neural networks. For fully interconnected single-layer neural networks with N input and M output neurons TAG contains two different types of interconnections, i.e., M N global fixed interconnections and N + M adaptive gain controls. For two-dimensional input patterns the former may be achieved by multifacet holograms, and the latter by spatial light modulators (SLMs). For the same number of input and output neurons TAG requires much less adaptive elements, and provides a possibility for large-scale optical implementation at some sacrifice in performance as compared to the perceptron. The training algorithm is based on gradient descent and error backpropagation, and is easily extensible to multilayer architecture. Computer simulation demonstrates reasonable performance of TAG compared to perceptron performance. An electrooptical implementation of TAG is also proposed.

Optimization of magneto-optical spatial light modulators for neural networks

1990 ◽  
Author(s):  
V. I. Chani ◽  
Andrey Y. Chervonenkis ◽  
Nikolay N. Kirykhin
Keyword(s):  
Neural Networks ◽  
Spatial Light Modulators ◽  
Light Modulators

scholarly journals Scalability of All-Optical Neural Networks Based on Spatial Light Modulators

2021 ◽  
Vol 15 (5) ◽  
Author(s):  
Ying Zuo ◽  
Yujun Zhao ◽  
You-Chiuan Chen ◽  
Shengwang Du ◽  
Junwei Liu
Keyword(s):  
Neural Networks ◽  
Spatial Light Modulators ◽  
Light Modulators ◽  
Optical Neural Networks ◽  
All Optical

OPTICALLY ADDRESSED SPATIAL LIGHT MODULATORS FOR 3D DISPLAY

2011 ◽  
Vol 20 (04) ◽  
pp. 453-457 ◽  
Author(s):  
N. COLLINGS
Keyword(s):  
Neural Networks ◽  
Adaptive Optics ◽  
Spatial Light Modulator ◽  
Spatial Light Modulators ◽  
Current Interest ◽  
3D Display ◽  
Light Modulator ◽  
Optical Correlation ◽  
Light Modulators ◽  
Optical Neural Networks

An optically addressed spatial light modulator (OASLM) records the image on a write beam and transfers it to a read beam. Some example application areas are: image transduction; optical correlation; adaptive optics; and optical neural networks. Current interest in OASLMs has been generated by the work of Qinetiq on 3D display. This work is based on Active tiling, where an image can be recorded in one part of the device and is memorised, whilst the remainder of the device is updated with images. This paper will explain this system and survey the technological alternatives for this application.

Deformable mirror device spatial light modulators and their applicability to optical neural networks

1989 ◽  
Vol 28 (22) ◽  
pp. 4900 ◽  
Author(s):  
Dean R. Collins ◽  
Jeffrey B. Sampsell ◽  
Larry J. Hornbeck ◽  
James M. Florence ◽  
P. Andrew Penz ◽  
...  
Keyword(s):  
Neural Networks ◽  
Deformable Mirror ◽  
Spatial Light Modulators ◽  
Light Modulators ◽  
Optical Neural Networks

Giant Anisotropy of Conductivity in Hydrogenated Nanocrystalline Silicon Thin Films

1998 ◽  
Vol 536 ◽  
Author(s):  
A. B. Pevtsov ◽  
N. A. Feoktistov ◽  
V. G. Golubev
Keyword(s):  
Thin Films ◽  
Film Thickness ◽  
Percolation Theory ◽  
Nanocrystalline Silicon ◽  
Spatial Light Modulators ◽  
Light Emitting ◽  
Light Modulators ◽  
Silicon Thin Films ◽  
Longitudinal Conductivity ◽  
Transverse Conductivity

AbstractThin (<1000 Å) hydrogenated nanocrystalline silicon films are widely used in solar cells, light emitting diodes, and spatial light modulators. In this work the conductivity of doped and undoped amorphous-nanocrystalline silicon thin films is studied as a function of film thickness: a giant anisotropy of conductivity is established. The longitudinal conductivity decreases dramatically (by a factor of 109 − 1010) as the layer thickness is reduced from 1500 Å to 200 Å, while the transverse conductivity remains close to that of a doped a- Si:H. The data obtained are interpreted in terms of the percolation theory.

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